Query across documents, web pages, and databases in one conversation

Decypher ingests PDFs, web pages, text files, and API data sources, then indexes them for natural-language querying. A single question can pull insights from a 200-page report and a live web page simultaneously. This eliminates the need to switch between tools or manually cross-reference findings.

Analysts reduce time spent on manual cross-referencing by up to 60%, focusing instead on interpretation and strategy.

Every answer includes source attribution for verification

Each response from Decypher links back to the specific source document and passage it used. This is critical for professional research where accuracy and traceability matter. Teams can verify claims without re-reading entire documents.

Research outputs maintain auditability, reducing the risk of acting on unverified information.

Full-featured mobile app for research on the go

Decypher offers a dedicated iOS app that mirrors desktop functionality. Users can upload documents from their phone, ask questions during commutes, and access their research library anywhere. This matters for consultants and analysts who are frequently away from their desks.

Research workflows become continuous rather than desk-bound, improving responsiveness to client or stakeholder questions.

Automatic document parsing and semantic indexing

Uploaded documents are automatically parsed, chunked, and indexed using semantic embeddings. The system understands context, not just keywords. A query about 'market share trends in Q3' will find relevant passages even if the exact phrase doesn't appear.

Teams retrieve relevant information even when they don't know the exact terminology used in the source documents.

Follow-up questions build on previous answers

The chat interface maintains context across a session. Users can ask a broad question, then drill down with follow-ups like 'what about the European market?' without rephrasing the original query. This mirrors how analysts naturally explore a topic.

Research depth improves as users iteratively refine their understanding without friction.

Export insights as structured summaries or raw citations

Users can export conversation threads as markdown or text files, including all source citations. This integrates directly into report-writing workflows, reducing the need to manually copy and format findings.

The gap between research and final deliverables narrows, saving hours per report cycle.

• AI-Powered Postbox RecognitionDecypher uses your camera and AI to identify royal cyphers on post boxes and other street furniture across the UK, providing instant historical and design information.
• Local History & Design LearningThe app teaches you about the history of your neighbourhood by decoding the shapes and cyphers on post boxes, revealing design details and historical context.
• High User RatingsDecypher has a 4.8 out of 5 rating from 6 ratings, with users praising its ease of use, flawless interface, and ability to open up a new world of exploration.
• Optimized for Older iPhonesUsers report the app works very smoothly on older models like the iPhone XS, with no frame rate issues, ensuring broad device compatibility.

• Limited to UK Post BoxesThe app's functionality is focused on post boxes and street furniture in the United Kingdom, so its usefulness is limited to UK users or those interested in UK history.
• Requires iOS 16.0 or LaterThe app requires iOS 16.0 or later for iPhone and visionOS 1.0 or later for Apple Vision, so it may not be compatible with older operating systems.
• Privacy Data CollectionThe developer indicates that usage data and product interaction data may be collected for analytics and app functionality, though this data is not linked to your identity.
• Accessibility Features Not Yet DeclaredThe developer has not yet indicated which accessibility features the app supports, which may be a consideration for users with specific accessibility needs.

Competitive intelligence briefs

A market research analyst uploads competitor annual reports, industry news articles, and internal sales data. They ask 'What are our top three competitors' stated priorities for 2026?' and receive a synthesised answer with citations. This replaces hours of manual reading and note-taking.

Academic literature reviews

A PhD researcher uploads 50 journal articles on a specific topic. They query 'What methodologies are most commonly used in studies published after 2020?' and get a structured overview with source links. This accelerates the literature review phase significantly.

Product feedback analysis

A product manager exports support tickets, app store reviews, and survey responses into Decypher. They ask 'What are the top three feature requests from enterprise customers?' and receive a ranked, cited answer. This turns unstructured feedback into actionable product direction.

Client onboarding research

A strategy consultant uploads a new client's annual reports, industry filings, and internal strategy documents. They query 'What are the key risks identified in the client's operations over the past two years?' and produce an onboarding brief in hours instead of days.

Download Decypher from the iOS App Store — the free tier is enough to evaluate core functionality.

Upload 3–5 documents relevant to a current research project — PDFs, web pages, or text files all work.

Ask your first broad question in natural language — for example, 'What are the main themes across these documents?'

Use follow-up questions to drill deeper, then export the conversation as a markdown file for your report.